Titlebook: Approximation and Online Algorithms; 20th International W Parinya Chalermsook,Bundit Laekhanukit Conference proceedings 2022 The Editor(s)

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書目名稱Approximation and Online Algorithms影響因子(影響力)




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Knapsack Secretary Through Boosting,ent sizes and multiple items may be selected if their total size does not exceed the capacity . of a knapsack. Previous works show competitive ratios of 1/(10.) (Babaioff et al.), 1/8.06 (Kesselheim et al.; STOC 2014), and 1/6.65 (Albers, Khan, and Ladewig; APPROX?2019) for the general problem but n

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,An Improved Algorithm for?Open Online Dial-a-Ride,r. The objective is to minimize the completion time until all requests have been served. We present a new, parameterized algorithm for this problem and prove that it attains a competitive ratio of . for some choice of its parameter, where . is the golden ratio. This improves the best known bounds fo

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,Stochastic Graph Exploration with?Limited Resources, network data sets. Specifically, exploration of social networks constitutes a growing field of research, as they generate a huge amount of data on a daily basis and are the main tool for networking, communications, and content sharing. Exploring these networks is resource-consuming (time, money, en

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,Adaptivity Gaps for?the?Stochastic Boolean Function Evaluation Problem,wn bit string . of length .. We determine .(.) by sequentially testing the variables of ., each of which is associated with a cost of testing and an independent probability of being true. If a strategy for solving the problem is adaptive in the sense that its next test can depend on the outcomes of